Simulation optimization has received considerable attention from both simulation researchers and practitioners. In this tutorial we present a broad introduction to simulation optimization and the many techniques that have been suggested to solve simulation optimization problems. Both continuous and discrete problems are discussed, but an emphasis is placed on discrete problems and practical met...

Simulation optimization is rapidly becoming a mainstream tool for simulation practitioners, as several simulation packages include add-on optimization tools. In this paper we are concentrating on an automated optimization approach that is based on adapting model parameters in order to handle uncertainty that arises from stochastic elements of the process under study. We particularly investigate...

The sectoral structure of most agricultural enterprises is unbalanced and uncoordinated, which underlies the need in deepened research of its improvement. This paper is dedicated to the formation and evaluation of the sectoral structure with the use of mathematical methods of data processing. Mathematical economic modeling based on optimization and simulation models has been applied for the for...

Under the subject expected utility paradigm, decisions are made by finding the alternative with the maximum expected utility. In Bayesian simulation, the probability distribution used is the distribution of a simulation output. While methods have been developed under the Bayesian paradigm for choosing the best simulated system from a discrete, finite set of alternatives, the only methods for op...

Web technology is having a significant impact on computer simulation. Most of the effort in web-based simulation is aimed at modeling, particularly at building simulation languages and at creating model libraries that can be assembled and executed over the web. We focus on the efficiency of simulation experimentation for optimization. We introduce a framework for combining the statistical effic...

Computer simulations are used extensively as models of real systems to evaluate output responses. The choice of optimal simulation parameters can lead to improved operation, but configuring them well remains a challenging problem. Simulation-based optimization is an emerging field which integrates optimization techniques into simulation analysis. The parameter calibration or optimization proble...

Virtual nesting is a popular capacity control strategy in network revenue management. In virtual nesting, products (itineraryfare-class combinations) are mapped (“indexed”) into a relatively small number of “virtual classes” on each resource (flight leg) of the network. Nested protection levels are then used to control the availability of these virtual classes; specifically, a product request i...